Outcomes in patients (pts) with advanced renal cell carcinoma (aRCC) who discontinued (DC) first-line nivolumab + ipilimumab (N+I) or sunitinib (S) due to treatment-related adverse events (TRAEs) in CheckMate 214.
Bibliographic record
Abstract
581 Background: The phase 3 CheckMate 214 trial demonstrated superior efficacy for N+I vs S in aRCC, although more patients discontinued N+I compared with S due to TRAEs. This is a post hoc analysis of outcomes in pts who DC N+I or S due to TRAEs. Methods: Untreated pts with clear cell aRCC were randomized 1:1 to N 3 mg/kg + I 1 mg/kg Q3Wx4 (induction) and then N 3 mg/kg Q3W (maintenance), or S 50 mg daily for 4 wk on, 2 wk off (6-wk cycles). This analysis includes all pts who DC due to TRAEs reported during extended follow-up (≤100 d after last study dose). Results: Of 550 N+I randomized pts, 135 (25%) DC due to TRAEs, most commonly increased ALT, diarrhea, and increased AST (all 3%); 64 (12%) of 535 S randomized pts DC due to TRAEs, most commonly increased ALT, diarrhea, and pancreatitis (all 1%). In N+I pts who DC due to TRAEs, 47% DC during N+I induction, 7% completed induction but no N maintenance, and 46% completed induction and received N maintenance (median [range] 8 [1–47] doses). At 30-mo minimum follow-up, ORR per investigator, CR rate, and 24-mo OS rate were higher in pts who DC N+I vs S due to TRAEs. Outcomes in pts who DC S due to TRAEs were similar to those in all S ITT pts and worse than in N+I pts who DC due to TRAEs (Table). At 24 mo, 42% of pts who DC N+I due to TRAEs were alive and free from second-line therapy. Consistent outcomes were seen in pts who DC N+I due to TRAEs across IMDC risk groups (data to be presented). Pts who DC N+I due to TRAEs experienced more immune-related select TRAEs and received more high-dose steroids (≥40 mg prednisone daily or equiv.), but times to onset and resolution and resolution rates of select TRAEs were similar vs all treated N+I pts. Conclusions: Discontinuation of first-line N+I due to TRAEs did not result in impaired outcomes, and a high proportion of pts remain alive and free from second-line therapy. Clinical trial information: NCT02231749. [Table: see text]
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".